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Sift builds a Digital Trust & Safety platform that helps e-commerce and fintech companies prevent fraud while keeping legitimate customers moving. It uses machine learning and AI to analyze vast streams of data in real time, delivering risk scores and decisions that integrate with clients’ existing systems. The platform provides dynamic friction—allowing valid transactions to proceed smoothly while stopping fraudulent ones—and it scales across small online retailers to large financial institutions. Revenue comes from a subscription model plus consulting and custom integration services. Sift’s goal is to reduce chargebacks and account takeovers, protect customer trust, and support safe digital commerce at scale, by delivering precise, real-time fraud prevention without disrupting normal user experiences.
Industries
Data & Analytics
Fintech
Cybersecurity
AI & Machine Learning
Company Size
201-500
Company Stage
Series E
Total Funding
$156.7M
Headquarters
San Francisco, California
Founded
2011
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Total Funding
$156.7M
Below
Industry Average
Funded Over
7 Rounds
Industry standards
Southern California startup Sift raised $17.5 million in a Series A funding round led by Google Ventures. Announced on June 25, the investment will help Sift expand its staff and accelerate the development of its platform, which aids engineers in analyzing hardware sensor data. Sift's automated data review product generates reports to highlight potential issues, benefiting industries like aviation, defense, energy, and transportation.
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Industries
Data & Analytics
Fintech
Cybersecurity
AI & Machine Learning
Company Size
201-500
Company Stage
Series E
Total Funding
$156.7M
Headquarters
San Francisco, California
Founded
2011
Find jobs on Simplify and start your career today